滑动平均法和分形理论结合的稻瘟病发病特性研究  

Study on the Characteristics of Rice Blast Based on Moving Average Method and Fractal Theory

作　　者：邱靖[1] 吴瑞武[2] 杨毅[2] 彭莞云 

机构地区：[1]云南农业大学教务处,云南昆明650201 [2]云南农业大学基础与信息工程学院,云南昆明650201 [3]云南农业大学植物保护学院,云南昆明650201

出　　处：《农业网络信息》2015年第3期55-57,共3页Agriculture Network Information

基　　金：云南省科技攻关项目"病虫害专家系统的研究与构建"(编号:2006NG02)

摘　　要：通过文献分析稻瘟病发生与气象有着密切的关系,利用滑动平均法将云南省凤庆县稻瘟病病情指数分解成趋势及气象波动病情指数,分析结果表明趋势病情指数总体呈下降趋势,而气象波动病情指数具有一定的混沌特性,并利用相空间延拓及G-P算法验证了气象波动具有一定混沌特性。Through the literature analysis, the occurrence of rice blast was closely related to the meteorology. The rice blast disease index of Fengqing County in Yunnan province is decomposed into disease index for trend and weather fluctuation using moving average method. The results showed that the overall trend was downward, but the disease index for weather fluctuation had some chaotic characteristics. It verified the weather fluctuation had some chaotic characteristics by using the phase space extension and G-P algorithm.

关 键 词：稻瘟病 滑动平均法 G-P算法 混沌特性 

分 类 号：TP315[自动化与计算机技术—计算机软件与理论]